class_docstr: Add gaussian noise to the input. A random Signal to Noise Ratio (SNR) will be picked
  uniformly in the decibel scale. This aligns with human hearing, which is more
  logarithmic than linear.
code: def apply(self, samples: NDArray[np.float32], sample_rate: int):
      noise = np.random.normal(
          0.0, self.parameters["noise_std"], size=samples.shape
      ).astype(np.float32)
      return samples + noise
  
file_path: audiomentations/audiomentations/augmentations/add_gaussian_snr.py
imports: import random
  import warnings
  import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseWaveformTransform
  from audiomentations.core.utils import calculate_desired_noise_rms, calculate_rms
label_desc: Use image node_id 3 for calling the AddGaussianSNR obj's underlying member method code with example usage: obj.apply(samples, sample_rate) and returns: unknown